Researcher

Yoav Artzi

Yoav Artzi is a computer scientist whose research develops models for natural-language understanding and generation in interactive systems. He earned a bachelor's degree in computer science at Tel Aviv University in 2008 and a PhD at the University of Washington in 2015, then joined Cornell's College of Computing and Information Science as an assistant professor in 2015. His work includes a 2013 weakly supervised semantic parser for instructions and the 2019 Touchdown task for visual street navigation. He received an NSF CAREER award and Cornell's 2024 Bowers Research Excellence Award; his 2013 paper earned a 2025 TACL Test of Time Award. As of October 2026, he is an associate professor at Cornell and a visiting researcher at Google DeepMind.

Works
119

Publication numbers from OpenAlex, as of 27 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2008–2015

    Degrees in computer science

    He earns a B.Sc. in computer science at Tel Aviv University in 2008 and a Ph.D. at the University of Washington in 2015.

  2. 2013

    A semantic parser for instructions

    With Luke Zettlemoyer, he publishes “Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions” in 2013. Their grounded CCG parser learns a joint model of meaning and context to interpret and execute natural-language instructions using weak supervision.

  3. 2015

    Joining Cornell faculty

    He joins Cornell's College of Computing and Information Science as an assistant professor of computer science in 2015.

  4. 2018

    An NSF CAREER award

    Artzi receives the NSF Faculty Early Career Development Award in 2018. His project studies how natural-language understanding can improve the quality and accessibility of autonomous systems, including self-driving cars, drones, and robots surveying disaster areas.

  5. 2019

    The Touchdown task and dataset

    He coauthors the Touchdown task and dataset in 2019 with Howard Chen, Alane Suhr, Dipendra Misra, and Noah Snavely. It pairs navigation instructions and spatial descriptions with a Street View task in which agents reach a goal and identify a location described in language.

  6. 2024

    A Bowers research award

    Artzi receives one of Cornell's 2024 Ann S. Bowers ’59 Research Excellence Awards for his research contributions.

  7. 2025

    TACL Test of Time Award

    In 2025, Artzi and Luke Zettlemoyer receive the TACL Test of Time Award for their 2013 paper on semantic parsers for mapping instructions to actions.

  8. As of October 2026

    Professor and visiting researcher

    As of October 2026, he is an associate professor in Cornell's Department of Computer Science and Cornell Tech, and a visiting researcher at Google DeepMind. His research develops models and learning methods for natural-language understanding and generation in interactive systems.

Career

  1. NowCornell UniversityAssociate professor
  2. NowGoogle DeepMindVisiting researcher

Education

  1. 2015University of WashingtonPh.D.
  2. 2008Tel Aviv UniversityB.Sc. in computer science

Sources and credits

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  1. Meet new members of the Cornell faculty, 2015-16 news.cornell.edu. Checked 27 October 2026.
  2. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions aclanthology.org. Checked 27 October 2026.
  3. Yoav Artzi | Department of Computer Science | Cornell Bowers cs.cornell.edu. Checked 27 October 2026.
  4. Thirteen assistant professors win NSF early-career awards news.cornell.edu. Checked 27 October 2026.
  5. TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments openaccess.thecvf.com. Checked 27 October 2026.
  6. Ann S. Bowers ’59 Research Excellence Awards bowers.cornell.edu. Checked 27 October 2026.
  7. 2025Q3 Reports: TACL Journal Editor - Admin Wiki aclweb.org. Checked 27 October 2026.
  8. Yoav Artzi yoavartzi.com. Checked 27 October 2026.